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2,721 results for “CONNECTIVITY”
TZO - Working memory performance in glioma patients is associated with functional connectivity between the right dorsolateral prefrontal cortex and default mode network
<p>Data files hosted on Figshare for "Working memory performance in glioma patients is associated with functional connectivity between the right dorsolateral prefrontal cortex and default mode network".</p> <p>Contains functional connectivity matrices, clinical variables, and working memory performance scores of 45 glioma patients.</p>
ROLE OF CONNECTIVE TISSUE DYSPLASIA IN ACUTE GLOMERULONEPHRITIS IN CHILDREN
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THE EMERGENCE OF PSYCHOLINGUISTICS, THE SCIENTISTS' SCIENTIFIC-THEORETICAL VIEWS AND ITS CONNECTION WITH OTHER SCIENCES
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F I G U R E 1 in Phylogeography of Solomon Islands blossom bats reflects oceanic divides and Pleistocene connections
F I G U R E 1 Study area and taxa: (a) the Solomon Islands and Bismarck archipelagos (EPSG: 4326 – WGS 84) with distributions of species M. melanops (orange), Nesonycteris woodfordi (green) and N. fardoulisi (blue), and subspecies (labelled). Bathymetric depths less than 120 m in Solomon Islands (ETOPO1, Amante & Eakins, 2009) shaded in dark grey indicate possible land bridge connections during the Last Glacial Maximum. Putative Pleistocene land bridge configurations suggested by ETOPO1 data (Amante & Eakins, 2009) are presented as grey shading for (a) the Solomon Islands archipelago, with members of landmass termed 'Greater Bukida' indicated in green; (b) the New Georgia group of islands and (c) the islands of Santa Isabel, Ngella and Guadalcanal. Putative Pleistocene land bridge configurations prepared by Mayr and Diamond (2001) are indicated by black solid outlines.
TABLE 1 in Connecting the dots: DNA barcoding and lectotype designation shedding light on Labrundinia longipalpis (Goetghebuer, 1921), an intriguing non-biting midge (Chironomidae, Tanypodinae)
<p><b>TABLE 1.</b> List of analyzed specimens, including their sample localities, life stage, and voucher reference and GenBank accession numbers.</p><table><tbody><tr><th><b>Taxon</b></th><th><b>Country</b></th><th><b>Stage</b></th><th><b>Voucher number</b></th><th><b>Accession number</b></th></tr></tbody><tbody><tr><th><i>Labrundinia amandae</i></th><td>Brazil</td><td>Immature</td><td>NEOTA044-12</td><td>JX887502.1</td></tr><tr><th><i>Labrundinia fiorelinii</i></th><td>Brazil</td><td>Immature</td><td>MPCB005-09</td><td>HM379514.1</td></tr><tr><th><i>Labrundinia jasoni</i></th><td>Brazil</td><td>Immature</td><td>NEOTA059-12</td><td>JX887518.1</td></tr><tr><th><i>Labrundinia longipalpis</i></th><td>Finland</td><td>Adult</td><td>ZMUO.025300</td><td>MZ660598.1</td></tr><tr><th><i>Labrundinia longipalpis</i></th><td>Finland</td><td>Adult</td><td>ZMUO.025299</td><td>MZ658837.1</td></tr><tr><th><i>Labrundinia maculata</i></th><td>USA</td><td>Immature</td><td>CATP8. 8</td><td>MW283530.1</td></tr><tr><th><i>Labrundinia mayaca</i></th><td>Brazil</td><td>Immature</td><td>NEOTA029-12</td><td>JX887525.1</td></tr><tr><th><i>Labrundinia parafittkaui</i></th><td>Brazil</td><td>Adult</td><td>NEOTA073-12</td><td>JX887508.1</td></tr><tr><th><i>Labrundinia parareniformis</i></th><td>Brazil</td><td>Immature</td><td>NEOTA035-12</td><td>JX887496.1</td></tr><tr><th><i>Labrundinia paravirescens</i></th><td>Brazil</td><td>Adult</td><td>NEOTA041-12</td><td>JX887527.1</td></tr><tr><th><i>Labrundinia reniformis</i></th><td>Brazil</td><td>Adult</td><td>NEOTA033-12</td><td>JX887489.1</td></tr><tr><th><i>Labrundinia sofiae</i></th><td>Brazil</td><td>Adult</td><td>NEOTA076-12</td><td>JX887517.1</td></tr></tbody></table>
An Ecological Connectivity dataset for Black Sea obtained from Sea Currents
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Data and scripts for "Servicesheds connect people to the landscapes upon which they depend"
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Data and scripts for: Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird
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Defining and quantifying effective connectivity of landscapes for species' movements
<p>Demonstration of the workflow and supplementary information on the randomized shortest paths framework for "Defining and quantifying effective connectivity of landscapes for species' movements" by Van Moorter B, Kivimäki I, Panzacchi M, Saerens M. (2021) in Ecography 44(6):1–15. </p> <p>Ecosystem functioning depends on multiple successful interactions, many supported by individual movements. The degree to which the landscape allows these interactions to take place has been referred to as 'effective connectivity' (EC). Many of the cumulative impacts of anthropogenic activities on ecosystem functioning arise from changes in EC. Therefore, a coherent framework to quantify EC is urgently needed. Recent theoretical developments propose that studying EC requires the simultaneous consideration of spatial, environmental and species intrinsic characteristics (SEI framework).</p> <p>In the paper we further expand the SEI framework by integrating advances in geographic information science, ecological niche modelling, movement ecology, island biogeography and network sciences to develop a comprehensive three-step methodological approach for quantifying EC. First, using niche modelling and movement ecology, we quantify the species movement probabilities with respect to local environmental conditions. Second, we quantify ecological distances between non-adjacent locations by integrating species movement responses to the local environment with the spatial configuration of the landscape using the expected cost obtained from the randomized shortest paths (RSP) framework. This expected cost generalizes the two most frequently used ecological distance metrics, i.e. least-cost distance and resistance distance. Moreover the 'absorbing random walk' properties of RSP allow the integration of new developments in connectivity research, i.e. spatial absorbing Markov chains, to account for movement-related mortality. Third, drawing from island biogeography and metapopulation ecology, we scale ecological distances by relevant species- and area-specific parameters to estimate EC for the ecological process of interest, e.g. migration, dispersal or gene flow.</p> <p>The integrative and highly interdisciplinary approach we propose can lead to increasingly more realistic measures of EC at different organizational levels. Moreover efficient computation allows its application to large-scale high-resolution landscapes for theoretical studies, conservation planning and sustainable management of real landscapes.</p>
Figure 2 from: Wood HM, Singh H, Grimaldi DA (2021) Another Laurasian connection in the Early Eocene of India: Myrmecarchaea spiders (Araneae, Archaeidae). ZooKeys 1071: 49-61. https://doi.org/10.3897/zookeys.1071.72515
Figure 2 Pedicel of different Myrmecarchaea species from Baltic amber, arrows marking lateral spurs AM. pediculus Wunderlich, 2004, pedicel, ventral, holotype specimen, No. S3907/4338, from Geologisch Paläontologisches Institute und Museum (GPIH) BM. petiolus Wunderlich, 2004, pedicel, dorsal, holotype specimen, No. S3999/4337, from GPIH. Scale bars: 0.5 mm.
Figure 1 from: Wood HM, Singh H, Grimaldi DA (2021) Another Laurasian connection in the Early Eocene of India: Myrmecarchaea spiders (Araneae, Archaeidae). ZooKeys 1071: 49-61. https://doi.org/10.3897/zookeys.1071.72515
Figure 1 Images of Myrmecarchaea sp. (BSIP 41985) from Cambay amber A exuvium, ventral; arrow pointing to dorsal of abdomen B cephalothorax, dorsal; asterisks denote the coxal openings on the right side where the legs were pulled out of the ventral portion of the exuvium; arrow pointing to some silk threads that is part of a mesh that covers the dorsum of the exuvium C abdomen, lateral; arrow pointing at spinnerets; 'ds' showing the anterior dorsal abdominal sclerite, which is folded back as part of the molting process when the spider freed its body from the exuvium; 'bl' marking the booklung cover that is attached to the anterior ventral abdominal sclerite (labeled 'vs') D anterior portion of cephalothorax, ventral; for reference, the coxae on the right side are numbered and labeled (c = coxa) E distal portion of chelicerae, posterior; dashed line outlines the cheliceral gland mound on the right chelicera; arrow points to one peg tooth F posterior portion of cephalothorax, ventral; for reference, the coxae on the left side are numbered and labeled (c = coxa); arrows show the lateral spurs on the pedicel; black line shows the diastema between coxa III and coxa IV. Scale bars: 1 mm (A, B); 0.25 mm (C–F).
Network topology and patch connectivity affect dynamics in experimental and model metapopulations
<p>Biological populations are rarely isolated in space and instead interact with others via dispersal in metapopulations. Theory predicts that network connectivity patterns can have critical effects on network robustness, as certain topologies, such as scale-free networks, are more tolerant to disturbances than other patterns. However, at present, experimental evidence of how these topologies affect population dynamics in a metapopulation framework is lacking. We used experimental metapopulations of the aquatic protist <i>Paramecium tetraurelia</i> to determine how network topology influences occupation patterns. We created metapopulations engineered to be comparable in linkage density, but differing in their degree distribution. We compared random networks to scale-free networks by evaluating local population occupancy and abundance throughout 18-30 protist generations. In parallel, we used simulations to explore differences in patch occupation patterns among topologies. Under one scenario, random metapopulations of P. tetraurelia reached higher abundance and higher occupancy (proportion of occupied patches) compared to scale-free systems in both experimental and simulated systems, while in the other both types of metapopulations performed similarly. Increasing patch degree (i.e., number of connections per patch) reduced the probability of extinction of local populations in both types of networks. We suggest the interaction between colonization/extinction rates and network topology alters the likelihood of rescue effects which results in differential patterns of occupancy and abundance in metapopulations.</p>
Supplementary material 2 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Table S2. Specimen information used for morphological comparison
Figure 3 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Figure 3 Dipteris shenzhenensis Y.H.Yan & Z.Y.Wei A habit B details of a lamina showing the venation and the distribution of sori C rhizome scale showing the profile and length (drawn by Zuo-Ying Wei & Li-Jun Chen, based on the type material at SZG).
Figure 2 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Figure 2 Morphological features of Dipteris shenzhenensis Y.H.Yan & Z.Y.Wei (A–E) and D. chinensis (F–J). A fan-shaped frond of D. shenzhenensisB the frond base with broad wing of D. shenzhenensisC rhizome of D. shenzhenensisD spore of D. shenzhenensisE rhizome scale of D. shenzhenensisF fan-shaped frond of D. chinensisG the frond base without wing of D. chinensisH rhizome of D. chinensisI spore of D. chinensisJ rhizome scale of D. chinensis.
Figure 4 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Figure 4 The phylogenetic tree inferred by the Bayesian inference with posterior probabilities above the branches.
Supplementary material 1 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Table S1. List of species and GenBank accession numbers used in the present study
Figure 1 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Figure 1 Boxplot (median and interquartile values) for the length of lobes (left), the width of lobes (center), and the number of lobes of each half of the fan-shaped fronds (right) amongst Dipteris conjugata, D. shenzhenensis and D. chinensis. Significant differences between species are represented with * (P < 0.05), ** (P < 0.001), and *** (P < 0.0001).
Replication package for: The Value of Political Connections: Evidence from China's Anti-Corruption Campaign
<p>The replication materials contain this README file, two do-files <br> ("ChinaConnections_Alonso_etal_dofilePREP.do" and "ChinaConnections_Alonso_etal_dofileRESULTS.do"),<br> two excel datasets ("CPI" and "DataPrep_POLITICIANS"), and the Appendix to the paper. <br> In order to run the codes, the user will need additional proprietary data from CSMAR that we cannot share. </p> <p>Alonso, M., Palma, N. and Simon-Yarza, B. (2022). The Value of Political Connections: Evidence from China's Anti-Corruption Campaign. Journal of Institutional Economics, forthcoming</p>
The connection to the public's preferred sports analysis and physical education curriculum
<p>People have their favorite type of sport, but such preferences tend to be shared for nearly a lifetime. How this preference persists remains inconclusive; hence, this study attempts to determine why people have different viewpoints on sports. It is reasonable to infer that these differences arise from differences in culture, occupation, and race. Therefore, we collected the following data and conducted research in Korea, the United States, and Japan, countries with various differences. The types of sports that people play were collected through surveys and comparisons among sports networks. Namely, “Sport Classification,” “The K-12 Physical Education System (textbooks),” “Survey (actual physical activity),” “Simple Notification Service (SNS) Activity” have been examined to deduce the reason why any particular sport is played. Firstly, Korea, the United States, and Japan conduct different physical education courses. Hence, the results affect people's preferences. Secondly, what people post on SNS and their actual physical activities are different. Thirdly, the degree of connection between sports-type varied as well. Lastly, sports that serve the purpose of being regarded as hubs among sports-type were common in Korea, the United States, and Japan.<br> </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.